






"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE   :							Any          =		logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   :							List[Any]          =		{
    '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/config.json''',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}






class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	Optional[int]		=					"""biogpt"""






    def __init__(			self	:				List[Any]			,		__SCREAMING_SNAKE_CASE	:				int=42384			,		__SCREAMING_SNAKE_CASE	:				Dict=1024			,		__SCREAMING_SNAKE_CASE	:				Dict=24			,		__SCREAMING_SNAKE_CASE	:				Tuple=16			,		__SCREAMING_SNAKE_CASE	:				List[str]=4096			,		__SCREAMING_SNAKE_CASE	:				Any="gelu"			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]=0.1			,		__SCREAMING_SNAKE_CASE	:				List[Any]=0.1			,		__SCREAMING_SNAKE_CASE	:				str=1024			,		__SCREAMING_SNAKE_CASE	:				Optional[int]=0.02			,		__SCREAMING_SNAKE_CASE	:				Dict=1e-1_2			,		__SCREAMING_SNAKE_CASE	:				Union[str, Any]=True			,		__SCREAMING_SNAKE_CASE	:				str=True			,		__SCREAMING_SNAKE_CASE	:				List[str]=0.0			,		__SCREAMING_SNAKE_CASE	:				str=0.0			,		__SCREAMING_SNAKE_CASE	:				Dict=1			,		__SCREAMING_SNAKE_CASE	:				Union[str, Any]=0			,		__SCREAMING_SNAKE_CASE	:				Dict=2			,		**__SCREAMING_SNAKE_CASE	:				Optional[int]			,		)	->						Optional[Any]:
      lowerCamelCase_       	=		vocab_size
      lowerCamelCase_       	=		max_position_embeddings
      lowerCamelCase_       	=		hidden_size
      lowerCamelCase_       	=		num_hidden_layers
      lowerCamelCase_       	=		num_attention_heads
      lowerCamelCase_       	=		intermediate_size
      lowerCamelCase_       	=		hidden_act
      lowerCamelCase_       	=		hidden_dropout_prob
      lowerCamelCase_       	=		attention_probs_dropout_prob
      lowerCamelCase_       	=		initializer_range
      lowerCamelCase_       	=		layer_norm_eps
      lowerCamelCase_       	=		scale_embedding
      lowerCamelCase_       	=		use_cache
      lowerCamelCase_       	=		layerdrop
      lowerCamelCase_       	=		activation_dropout
      super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE			,		bos_token_id=__SCREAMING_SNAKE_CASE			,		eos_token_id=__SCREAMING_SNAKE_CASE			,		**__SCREAMING_SNAKE_CASE   )












"""simple docstring"""





from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403







def 	lowerCamelCase__			(				_lowerCamelCase			:						str						,							_lowerCamelCase			:						complex						,							_lowerCamelCase			:						str = "x"						,							_lowerCamelCase			:						float = 10**-10						,							_lowerCamelCase			:						int = 1						,							) ->							complex:
  lowerCamelCase_       	=		symbols(_lowerCamelCase					)
  lowerCamelCase_       	=		lambdify(_lowerCamelCase						,							_lowerCamelCase					)
  lowerCamelCase_       	=		lambdify(_lowerCamelCase						,							diff(_lowerCamelCase						,							_lowerCamelCase					)					)

  lowerCamelCase_       	=		starting_point

  while True:
    if diff_function(_lowerCamelCase					) != 0:
      lowerCamelCase_       	=		prev_guess - multiplicity * func(_lowerCamelCase					) / diff_function(
          _lowerCamelCase					)
    else:
      raise ZeroDivisionError('Could not find root'					) from None

    # Precision is checked by comparing the difference of consecutive guesses
    if abs(next_guess - prev_guess					) < precision:
      return next_guess

    lowerCamelCase_       	=		next_guess


# Let's Execute
if __name__ == "__main__":
  # Find root of trigonometric function
  # Find value of pi
  print(F'''The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}''')

  # Find root of polynomial
  # Find fourth Root of 5
  print(F'''The root of x**4 - 5 = 0 is {newton_raphson('x**4 -5', 0.4 +5j)}''')

  # Find value of e
  print(
      '''The root of log(y) - 1 = 0 is ''',
      F'''{newton_raphson('log(y) - 1', 2, variable='y')}''',
  )

  # Exponential Roots
  print(
      '''The root of exp(x) - 1 = 0 is''',
      F'''{newton_raphson('exp(x) - 1', 10, precision=0.005)}''',
  )

  # Find root of cos(x)
  print(F'''The root of cos(x) = 0 is {newton_raphson('cos(x)', 0)}''')




